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A micro data approach to the identification of credit crunches

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  • Horst Rottmann
  • Timo Wollmershäuser

Abstract

This article presents a micro data approach to the identification of credit crunches. Using a survey among German firms which regularly queries the firms' assessment of the current willingness of banks to extend credit, we estimate the probability of a restrictive loan supply policy by time taking into account the creditworthiness of borrowers. Creditworthiness is approximated by firm-specific factors, e.g. the firms' assessment of their current business situation and their business expectations. After controlling for the return on the banks' risk-free investment alternative, which is also likely to affect the supply of loans, we derive a credit crunch indicator, which measures that part of the shift in the loan supply that is neither explained by firm-specific factors nor by the opportunity costs of providing risky loans.

Suggested Citation

  • Horst Rottmann & Timo Wollmershäuser, 2013. "A micro data approach to the identification of credit crunches," Applied Economics, Taylor & Francis Journals, vol. 45(17), pages 2423-2441, June.
    • Handle: RePEc:taf:applec:45:y:2013:i:17:p:2423-2441
    DOI: 10.1080/00036846.2012.665604
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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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